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GPTNeoX-160m-minipile
JD1713/GPTNeoX-160m-minipile
GPTNeoX-160m-minipile is a text generation model from JD1713. Use it when you need the model to write or continue text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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5.8 GB on disk
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Repo makeup
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.safetensors325 MB · 99%
At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- gpt_neox
- Access
- Public
- Created
- Nov 9, 2025
- Updated
- Nov 9, 2025
- SHA
- cebf1d1b
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Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
GPTNeoX-160m-minipile
This model was trained from scratch on an unknown dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.15
- num_epochs: 1
Training results
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu128
- Datasets 3.0.1
- Tokenizers 0.22.1
- Task
- Text Generation
- Library
- transformers
- Type
- gpt_neox
- Created
- Nov 9, 2025
- Updated
- Nov 9, 2025